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Kai Nakaishi

4 papers hereh-index 216 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn3
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedAbsence of Phase Transition in Random Language Model

3 citations · 5 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2025

Rethinking the Relationship between the Power Law and Hierarchical Structures

Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa +2

Statistical analysis of corpora provides an approach to quantitatively investigate natural languages. This approach has revealed that several power laws consistently emerge across…

cond-mat.dis-nn2024★ 2 cited

Phase transition in large language models and the criticality of natural languages

Kai Nakaishi, Yoshihiko Nishikawa, Koji Hukushima

Generation of text and speech in natural languages can be modeled as a stochastic process. This idea dates back to the seminal work of Markov and, later, to that of Shannon and als…

cond-mat.dis-nn2024

Statistical properties of probabilistic context-sensitive grammars

Kai Nakaishi, Koji Hukushima

Probabilistic context-free grammars (PCFGs), which are commonly used to generate trees randomly, have been well analyzed theoretically, leading to applications in various domains.…

cond-mat.dis-nn2021★ 3 cited

Absence of Phase Transition in Random Language Model

Kai Nakaishi, Koji Hukushima

The Random Language Model, proposed as a simple model of human languages, is defined by the averaged model of a probabilistic context-free grammar. This grammar expresses the proce…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.